A composite iterative procedure with fast convergence rate for the progressive-iteration approximation of curves.
Alireza EbrahimiGhasem Barid LoghmaniPublished in: J. Comput. Appl. Math. (2019)
Keyphrases
- convergence rate
- iterative procedure
- closed form
- line search
- stopping criterion
- step size
- learning rate
- convergence speed
- number of iterations required
- global convergence
- polygonal approximation
- mutation operator
- gradient method
- neural network
- approximation algorithms
- conjugate gradient
- digital curves
- wavelet neural network
- b spline
- numerical stability
- lp norm
- gravitational search algorithm
- optimal solution
- special case